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Mahindra Mahindra Limited.
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Data Scientist

Data Scientist

Mahindra Mahindra Limited.

5 - 8 years

6 - 11 Lacs

Pune

Posted:1 day ago| Platform:

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Skills Required

Computer vision Product engineering data science Analytical Machine learning Predictive modeling Monitoring Analytics SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities & Key Deliverables

We are looking for a Senior Data Scientist with a balanced mix of hands-on expertise and team leadership capabilities. The ideal candidate is someone who thrives at the intersection of technical depth and strategic impact. In this dual role, youll own critical projects end-to-end while mentoring a team of data scientists and analysts to drive enterprise-wide AI initiatives.

Leadership (50%)
Lead and mentor a small team of junior to mid-level data scientists and analysts. Translate high-level business problems into analytical frameworks and guide project execution. Review models, code, and outputs to ensure quality and scalability. Manage timelines, prioritize tasks, and align with cross-functional stakeholders. Collaborate with product, engineering, and business teams to deliver AI-driven solutions.

Individual Contributor (50%) Design, build, and deploy machine learning models, statistical frameworks, and data pipelines. Perform deep data exploration and generate actionable insights. Work on a range of problems including predictive modeling, segmentation, recommendation systems, NLP, and computer vision depending on project needs. Conduct robust feature engineering, model evaluation, and tuning. Communicate findings clearly to technical and non-technical stakeholders.

Experience

5 8 years of hands-on experience in data science, machine learning, or analytics.

Qualifications

Required Qualifications:
Strong programming skills in Python, SQL, and proficiency with libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost. Solid understanding of supervised/unsupervised ML, A/B testing, and statistical modeling. Demonstrated experience in leading or mentoring data science teams (formal or informal). Excellent communication, problem-solving, and stakeholder engagement skills. Experience working with both structured and unstructured data at scale. Good to Have: Exposure to cloud-based AI/ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML Studio. Experience working with cloud-native data tools (e.g., BigQuery, Redshift, Snowflake). Understanding of data architecture and modern database systems (e.g., PostgreSQL, MongoDB, Cassandra). Familiarity with MLOps practices, model monitoring, and CI/CD pipelines for ML.

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Data Scientist